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When will humanity reach Earth-like planets?

Link Copy 2023-06-22 10:24:21

Prediction

In the year 2155

Reason

Before reaching an Earth-like planet, you need to build a ship capable of flying at speeds above the speed of light. For example, the distance to the closest Earth-like planet in 2023 is more than 300 light-years.

In the year 2155

According to some scientists, they only plan to pinpoint an Earth-like planet by 2055.

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Why is science not needed in Russia?

Link Copy 2023-09-30 11:58:10

Prediction

The state has no scientific tasks.

Reason

When a country is engaged in the sale of hydrocarbons, why do we need extra mouths in the form of scientists, if the money is already flowing.

The state has no scientific tasks.

Science is expensive, but near-science brings noticeably more money.

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How the fixation of russian oil prices will affect the global market?

Link Copy 2022-12-08 05:03:14

Prediction

The introduction of a price ceiling on Russian oil would have a negative impact on the global economy and energy security. This was also confirmed by the International Energy Agency.

Reason

China and India have made it clear that they will not comply with the Western embargo. China and India will not be affected in any way. The U.S. is not dependent on Russian oil supplies either. Russia itself is already selling below the delivered price. All these restrictions will only damage the EU and increase dependence on energy resources.

The introduction of a price ceiling on Russian oil would have a negative impact on the global economy and energy security. This was also confirmed by the International Energy Agency.

The problem is that there is no free oil on the market and if we introduce restrictions, prices will go up.

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Are the possibilities of artificial intelligence as limitless as we are told?

Link Copy 2026-01-06 13:06:05

Prediction

No, there are limits to learning. The fast results create a sense of limitlessness.

Reason

Modern artificial intelligence models require a huge amount of electricity for training and work. There are physical limitations to computing power — transistors are no longer decreasing so fast. Only a few companies in the world produce advanced chips for artificial intelligence. This means that the zoom cannot be infinite. There are also limitations in terms of global data and knowledge — the amount of data available is limited. The AI industry is also facing a shortage of skilled workers.

No, there are limits to learning. The fast results create a sense of limitlessness.

Marketing and media often exaggerate the possibilities, ignoring the limitations. AI's capabilities are limited by physics, not just imagination. Equipment, energy, and data are limited. There will be no unlimited AI without new breakthroughs in physics and cognitive sciences.

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